Linux BSP Software development, Linux device driverdevelopment bootuot

Position: Visual merchandiser (Retail & E-Commerce Marketing)

Experience: 3+ yar in fashion industry

salary: Negotiable

Location Gurgaon

Role Overview

The Retail & E-commerce Marketing Executive is responsible for driving the retail and e-commerce merchandising, forecasting, and marketing/sales operations for our Brands. The role focuses on ensuring optimal product presentation, accurate forecasting, smooth retail operations end to end, and a premium online shopping experience across all sales channels — including Retail, brand website, Tata CLiQ Luxury, Myntra, and Amazon etc.

This position bridges the gap between sales, marketing, and operations, aligning product availability, brand presentation, and customer experience to achieve business and retail KPIs.

Key Responsibilities

1. Apparel Merchandising & Forecasting

• ? Lead end-to-end merchandising planning for Apparel across retail and e-commerce platforms.
• ? Collaborate with the forecasting team to predict sales trends, manage stock levels, and minimize stockouts or overstock.
• ? Conduct Weekly/monthly leftover, cut-size, and size-gap reviews to maintain healthy inventory and improve sell-through rates.

2. Retail & Online Planogram Management

• Develop and execute seasonal planograms for stores and e-commerce channels.
• Maintain brand consistency and ensure premium visual merchandising standard across physical stores and online PDPs (Product Display Pages).
• Coordinate with e-commerce teams to ensure updated imagery, descriptions, and product tags and listing.

3. E-Commerce Operations

• Manage and monitor listings, pricing, and availability across brand website, Tata CLiQ Luxury, Myntra, and Amazon.
• Align with marketplaces for promotional visibility, banner placement, and campaign participation.
• Track sales and conversion metrics per channel to identify performance opportunities.

4. Retail Operations & Placement

• Optimize store space allocation and ensure product rotations to improve sales per sq. ft.
• Coordinate with store teams for new season rollouts, VM updates, and inventory replenishment.
• Support corporate orders and B2B requests with accurate and timely inventory support to internal sales team with catalogue and as per requirement.

5. Staff Training & Customer Experience

• Conduct product knowledge and visual merchandising training sessions for retail staff.
• Enhance customer experience through improved staff engagement, storytelling, and service excellence.
• Measure training impact through post-training sales uplift and feedback scores.

6. Promotions, Events &Exhibitions

• Plan and execute seasonal retail and e-commerce promotions (festive, clearance, and end-of-season).
• Coordinate participation in exhibitions and brand activations for visibility and lead generation.
• Track promotional ROI and leads generated for future optimization.

7. Visual Merchandising & Catalogue Management

• Maintain premium brand display standards through regular VM audits and refreshes.
• Create and manage seasonal catalogues and look books for sales and digital channels.
• Work with design and marketing teams for photo shoots and brand content.

8. Data Analytics & Reporting

• Provide weekly and monthly performance reports covering sales, stock health, and forecast accuracy.
• Analyze data to identify slow movers, bestsellers, and opportunity gaps.
• Present actionable insights to management for decision-making.

Key Objectives

• Ensure premium product presentation and brand alignment across all channels.
• Improve forecast accuracy and inventory efficiency.
• Strengthen staff capability and customer engagement.
• Increase e-commerce conversion rates through effective merchandising and campaign planning.

Skills &Competencies

• Strong command of retail and online merchandising principles.
• Proficiency in Excel / Google Sheets, inventory dashboards, and marketplace management tools.
• Excellent coordination and communication across teams and partners.
• Analytical mindset for data interpretation and forecasting.
• Creative eye for visual merchandising and storytelling.
• Passion for premium lifestyle and apparel brands.

Experience & Qualifications

• Bachelor degree in Marketing, Fashion Management, or Business Administration.
• 3–4 years of experience in apparel merchandising, e-commerce management, or retail planning, preferably within the premium or lifestyle segment.

mail updated resume with salary details-

email: etalenthire[at]gmail[dot]com

satish: 88O 27 49 743

website: www.glansolutions.com

What You’ll Do:

● Develop and maintain cross-platform mobile applications using React Native (Flutter experience is a plus).

● Handle end-to-end app deployment: build, register, and release applications on Google Play Store and Apple App Store.

● Collaborate with product managers and designers to deliver high-quality UI/UX.

● Work on web application tasks as needed, including front-end (React.js preferred) or minor backend integration.

● Debug, optimize, and continuously improve app performance and scalability.

● Write clean, maintainable, and well-documented code.

What We’re Looking For:

● Minimum 2 years of professional experience in React Native development.

● Exposure to Flutter is a plus.

● Proven experience in publishing apps to both Android and iOS stores, including certificates, provisioning profiles, app review process.

● Basic knowledge of web technologies (HTML/CSS, JavaScript, React.js or similar).

● Familiarity with REST APIs, Git, and common dev tools.

● Strong problem-solving skills and a collaborative mindset.

Nice to Have

● Experience with Firebase, push notifications, analytics, or payment integration.

● CI/CD knowledge for mobile deployment.

● Backend development familiarity (Node.js, FastAPI, or similar).

You will be getting leads from the company. You need to builds and maintains business relationships with new and existing customers. You understand customers' needs and recommend appropriate solutions, negotiate with clients to help them move down the sales funnel, record client feedback and maintain a customer database. 

ABOUT EPISOURCE:

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.

What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.

ABOUT THE ROLE:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.

During the course of a typical day with our team, expect to work on one or more projects around the following;

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

Primary roles and responsibilities -

• Manage multiple interconnected projects, ensuring program goals are reached
• Develop and manage scope of the projects, deadlines and activities for projects and be accountable for delivering against established business goals/objectives
• Strategize and implement key program initiatives that adhere to organizational objectives
• Identify key resource requirements from cross-functional teams and external vendors
• Assume responsibility for the program’s people and vendors
• Build and execute projects that cut across various aspects of Business
• Work cross functionally to help influence change in getting ideas executed
• Build and lead communication plan and develop a reinforcement strategy across the organization
• Manage all aspects of the implementation including the human and cultural elements, and reinforcing collaboration
• Lead and direct different cross-functional programs and projects of varied sizes and types
• Measure project performance using appropriate systems, tools and techniques-
• Create and maintain comprehensive project documentation-
• Help people to design and model solutions for innovation .
• Coordinate all cross-functional activities, collaborate with leaders in varied areas on planning and execution
• Provide the skill and structure required to identify problems and improvement opportunities

• Experienced with MS office - Excel, Word and PPT
• Solid organizational skills including attention to detail and multi-tasking skills
• Should understand the product development process - to enable projects to be converted into Products
• Excellent client-facing and internal communication skills, written and verbal

Assistant Manager Operations - Books Domain 

Roles and Responsibilities: 

∙ Books warehouse operations and expert in managing inventory, keeping track of book sampling and  distribution, having experience in handling complete distribution channel 

∙ Knowledge in Office Productivity Tools - MS Office, Open Office, Google App 

Desired Profile of Candidate: 

∙ Good communication skills (Hindi and English), Customer Service, 

∙ Problem Solving, Logical Reasoning, Good Analytical Skills, Documentation Skills, Listening, Phone  Skills, Multi-tasking,